Multi-scale modeling of ultrafast laser-driven thermofluid flows for nanostructure reshaping

Multi-scale modeling of ultrafast laser-driven thermofluid flows for nanostructure reshaping

28/09/2026 Financement public/privé

Multi-scale modeling of ultrafast laser-driven thermofluid flows for nanostructure reshaping

Laser-matter interaction; Multi-physical Modeling; Computational Fluid Dynamics; Molecular Dynamics; Ultrashort Laser; Phase Transitions; Nanofabrication; Nanostructuring

Objectives. Within ULTraFlow project (Optimizing Ultrafast Laser-driven Thermofluid Flow for nanofabrication of arbitrary 3D curved nanostructures), PhD fellow will be responsible for developing an efficient computational tool to predict ultrashort laser-induced modifications in surface nanostructures and to identify governing mechanisms at sub-100 nm scales. The project will introduce a new methodology that couples ultrafast near-field absorption, heat transfer and phase transitions, addressing light, heat and energy confinement at the nanoscale, in all-in-one unified multi-physical and multi-scale approach. As a final product, ULTraFlow will deliver novel strategies to control and optimize nanofabrication processes beyond the conventional surface nanostructures, towards structures with irregular 3D nanoscale curvature, that are urgently needed as components for multi-functional metasurfaces, particularly difficult to fabricate or to adjust with conventional methods.

Context. In the era of extreme miniaturization, the continued progress of nanotechnologies requires fabrication approaches capable of controlling matter at ever smaller spatial and temporal scales while remaining scalable and economically viable. Ultrashort lasers, having pulse duration shorter than characteristic scales for heat transport and fluid flow (< 10 picoseconds), can act as an efficient operational and control tool for nanostructure fabrication and reshaping because the laser irradiation provides necessary conditions for light, heat & energy confinement and phase transitions at extreme spatial scales but also an ability to control precisely over the fabrication process by spatio-temporal shaping of the laser beam [1]. This makes it possible to selectively reshape, adjust or fabricate nanostructures with minimal collateral damage to surrounding material. Furthermore, laser-induced optical near-fields of nanostructures can naturally concentrate electromagnetic energy beyond the diffraction limit in specific shapes, fully controllable by key laser parameters, such as laser wavelength, polarization of light, and angle of incidence [2]. Thus, setting a specific optical field distribution allows manipulating the temperature gradients, directed melt flow, and local phase transitions at the nanoscale, that result into permanent modifications after cooling and resolidification on sub-microsecond scales.

Reaching towards ultimate nanoscale features beyond the diffraction limit for visible light (< 250 nm) and with 3D arbitrary designs, however, relies more and more on fundamental understanding and predictive modelling of multi-physical processes at nanoscale. Currently, there is no unified theoretical framework that can rigorously and efficiently couple multi-physics of ultrashort laser-matter interactions on all relevant spatial and temporal scales. Within ULTraFlow project, PhD student will attempt to address the modifications occurring on particularly challenging spatial scales (few tens-few hundred nanometers), incompatible with standard ab initio/atomistic simulations but richer in phenomena than the macroscales, representative in computational fluid dynamics. In particular, the challenge consists in pushing the continuum Navier-Stokes (N-S) equations beyond its validity, requiring corrections for large Knudsen numbers, slip boundary conditions, non-Fourier thermal transport and stochastic models for fluctuating hydrodynamics. These effects are dynamically important for fluids undergoing phase transitions, cavitation, hydrodynamic instabilities, since the nonlinearities can exponentially amplify the relevant nanoscopic forces. The fluctuation effects could be considered as nonlocal corrections within multi-phase N-S model [3], affecting the amplitude and the anisotropy of the effective thermal conduction, shear viscosity and flow rate, all dependent on the size of confinement. These methods were successfully applied to describe phase transitions at nanoscale [3] but haven’t been applied yet to complex 3D nanostructure geometries. Another challenge consists in trying to handle highly nonequilibrium multi-phase interfacial dynamics, which requires specific interface tracking methods, such as diffuse-interface (phase-field) [4] that have been routinely applied to describe mixing of two incompressible fluids but rarely for compressible fluid dynamics with embedded equation-of-state. Within th